v0.2.2
GitHub release !
- Support for arbitrary numbers of nested dimensions
- No computational overhead when dealing with already padded tensors
- Dynamic re-padding (or refolding) of data based on stored inner lengths
- Automatic mask generation and updating whenever the tensor is refolded
- C++ optimized code for fast data loading from Python lists and refolding
- Flexibility in data representation, making it easy to switch between different layouts when needed
- No pytorch binary dependency (allowing us to distribute prebuilt binaries)
Full Changelog: https://github.com/aphp/foldedtensor/commits/v0.2.2